Lectures

Edit 0 33 …
S.#
 Date
 Day
 Topics
 Download
 Comments
1
 04/09/12
 Tuesday
 Course Overview, What is Data Mining and its Origin, Typical Data Mining Tasks, Data Mining Applications/Examples
Data Mining Unit 1.pdf
2
 07/09/12
 Friday
 Data Mining vs. OLAP and Statistics, Data Preparation, Normalization, Outlier Detection
Data Mining Unit 2.pdf

 Study Data Mining vs. Statistics and Machine Learning vs. Statistics

11/09/12
 Tuesday
 Class cancelled due to rain

3
 14/09/12
 Friday
 Unit # 2 (Cont'd), Feature Reduction/Ranking using Mean-Variance Method, Sampling Size, Introduction to Classification/Decision Trees, Model Interpretation, Measures of Node Impurity
Data Mining Unit 3.pdf
Induction of Decision Tree.pdf

18/09/12
 Tuesday
 Class cancelled due to law & order situation and the resulting traffic jam


21/09/12
 Friday
 National Holiday Announced - Youm-e-Ishq Rasool (pbuh&hf)

4-5
 25/09/12
 Tuesday
 Computation of GINI Index, Entropy and Misclassification Error, Induction of Classification Trees, Handling of Multi-state and Continuous Data, Discretization using Value Reduction
Data Mining Unit 4.pdf
Bahety.pdf

28/09/12
 Friday
 No Class - Traveling

6-7
 2/10/12
 Tuesday
 ChiMerge Discretization, Bayes Theorem, Naive Bayes Classifier, Model Evaluation, Accuracy, Weighted Accuracy, Recall and Precision, Weka Demo
Data Mining Unit 5.pdf
ChiMerge Paper.pdf
8-9
 5/10/12
 Friday
 Receiver Operating Characteristics (ROC Curve), Lift and Gain Charts, KNIME Demo, Lab Session: Weka and KNIME
Data Mining Unit 6.pdf

 Assignment # 1 Posted (Due Date: October 23, 2012)

9/10/12
 Tuesday
 Midterm 1 Week


12/10/12
 Friday
 Midterm 1 Week

10
 16/10/12
 Tuesday
 Entropy based Feature Selection, Discretization Options in Weka
Data Mining Unit 7.pdf
11
 19/10/12
 Friday
 Artificial Neural Networks, Motivation, History, Multi-layer Feedforward Network, Backpropagation Algorithm
Data Mining Unit 8.pdf
12-13
 23/10/12
 Tuesday
Case Studies Presentations


26/10/12
 Friday
 Baqraid Holiday

14
 30/10/12
 Tuesday
 Lazy Learner vs. Eager Learner, k-Nearest Neighbor: Pros and Cons
Data Mining Unit 9.pdf
15
 2/11/12
 Friday
 Model Evaluation, Sampling with Replacement (Bootsrapping), Ensemble Methods (Bagging and Boosting)
Data Mining Unit 10.pdf

6/11/12
 Tuesday
 No Class




Friday
 No Class - Iqbal Day

16
 13/11/12
 Tuesday
 Clustering: Basic Concepts and Popular Types, Applications,
K-Means: Concepts, Working, Limitations, Schemes to Handle Initial Centroid Problems in K-Means
Data Mining Unit 11.pdf
17
 16/11/12
 Friday
 Hierarchical Clustering: Simple/Complete/Average Linkages, Validity of Clusters: External and Internal Metrics
Data Mining Unit 12.pdf
18
 20/11/12
 Tuesday
Project 1 Presentations

23/11/12
 Friday
 No Class - Ashura


19-20
 1/12/12
 Sunday
 Distance Computation for Mixed Type Variables: Interval-Scaled, Symmetric and Asymmetric Binary, Categorical and Ordinal, Fuzzy c-Means, Kohonen Maps, KNIME Demo (Clustering)
Data Mining Unit 13.pdf
21
 4/12/12
 Tuesday
 Clustering using Adaptive Resonance Theory (ART1)
Data Mining Unit 14.pdf
22
 7/12/12
 Friday
 Association Rule Mining, Apriori Algorithm, Frequent Itemsets and Rules Generation, Support, Confidence, Interest and Lift
Data Mining Unit 15.pdf
23
 11/12/12
 Tuesday
 Handling of Continuous and Categorical Data, min-Apriori, Multi-level Association Rules
Data Mining Unit 16.pdf
24
 14/12/12
 Friday
Guest Lecture by Dr. Naeem-uz-Zafar

25
 18/12/12
 Tuesday
 Eigenvalues and Eigenvectors, Principal Component Analysis, R and KNIME implementation of PCA
Data Mining Unit 17.pdf
26
 21/12/12
 Friday
 Text Mining, Data Mining Applications and Course Recap
Data Mining Unit 18.pdf

25/12/12
 Tuesday
 Quaid-e-Azam Day


28/12/12
 Friday
 Bhitai Day

27-28
 1/1/13
 Tuesday
Project 2 Presentations